#Generative-adversarial-network
Showing 60 of 196 repositories tagged #generative-adversarial-network, ranked by stars
Official Code for DragGAN (SIGGRAPH 2023)
SoftVC VITS Singing Voice Conversion
Image-to-Image Translation in PyTorch
Bringing Old Photo Back to Life (CVPR 2020 oral)
A list of all named GANs!
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Image-to-image translation with conditional adversarial nets
๐ฆ LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Build your neural network easy and fast, ่ซ็ฆPythonไธญๆๆๅญฆ
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic ๐ช: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Synthesizing and manipulating 2048x1024 images with conditional GANs
Tensorflow tutorial from basic to hard, ่ซ็ฆPython ไธญๆAIๆๅญฆ
Interactive Image Generation via Generative Adversarial Networks
Compute FID scores with PyTorch.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Synthetic data generation for tabular data
[CVPR2020] Adversarial Latent Autoencoders
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Create Anime Characters with MakeGirlsMoe
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EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Text to image synthesis using thought vectors
C++ Implementation of PyTorch Tutorials for Everyone
A sketch extractor for anime/illustration.
An AI for Music Generation
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Discovering Interpretable GAN Controls [NeurIPS 2020]
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
Synthetic data generators for tabular and time-series data
Collection of google colaboratory notebooks for fast and easy experiments
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Toward Multimodal Image-to-Image Translation
Unsupervised time series anomaly detection library
"Deep Generative Modeling": Introductory Examples
A clean and readable Pytorch implementation of CycleGAN
Composable GAN framework with api and user interface
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
๐ฆ<->๐ฆ ๐<->๐ A collection of image to image papers with code (constantly updating)
An application tool of edge-connect, which can do anime inpainting and drawing. ๅจๆผซไบบ็ฉๅพ็่ชๅจไฟฎๅค๏ผๅป้ฉฌ่ตๅ ๏ผๅกซ่กฅ๏ผๅป็็ต
๐ฆA PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Awesome Generative Adversarial Networks with tensorflow
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Generating Videos with Scene Dynamics. NIPS 2016.
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps